1

我正在尝试对 r/wallstreetbets 内容进行一些情感分析，并且还想使用表情符号的含义。

这是我的代码：

from nltk.sentiment.vader import SentimentIntensityAnalyzer

wsb_lingo = {
    "bullish": 4.0,
    "bearish": -4.0,
    "bagholder": -4.0,
    "BTFD": 4.0,
    "FD": 4.0,
    "diamond hands": 0.0,
    "paper hands": 0.0,
    "DD": 4.0,
    "GUH": -4.0,
    "pump": 4.0,
    "dump": -4.0,
    "gem stone": 4.0, # emoji
    "rocket": 4.0, # emoji
    "andromeda": 0.0,
    "to the moon": 4.0,
    "stonks": -4.0,
    "tendies": 4.0,
    "buy": 4.0,
    "sell": -4.0,
    "hold": 4.0,
    "short": 4.0,
    "long": 4.0,
    "overvalued": -4.0,
    "undervalued": 4.0,
    "calls": 4.0,
    "call": 4.0,
    "puts": -4.0,
    "put": -4.0,
}

sid = SentimentIntensityAnalyzer()
sid.lexicon.update(wsb_lingo)

# Test
print(sid.polarity_scores(''))
print(sid.polarity_scores(''))

输出如下：

{'neg': 0.0, 'neu': 0.0, 'pos': 0.0, 'compound': 0.0}
{'neg': 0.0, 'neu': 0.0, 'pos': 0.0, 'compound': 0.0}

它怎么可能无法对表情符号表达任何情感（例如，由于 Jupyter Notebook）？我在这里忘记了什么吗？所有库都是最新的。

4

1 回答 1

1

如果我用它vaderSentiment代替nltk.sentiment.vader它对我有用

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer

new = { "rocket": 4.0 }
sia = SentimentIntensityAnalyzer()
sia.polarity_scores('')
# Outputs: {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}

sia.lexicon.update(new)
sia.polarity_scores('')
# Outputs: {'neg': 0.0, 'neu': 0.0, 'pos': 1.0, 'compound': 0.7184}

另请参阅此问题

于 2021-04-29T08:16:56.550 回答